muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data

HL Crowell, C Soneson, PL Germain, D Calini… - Nature …, 2020 - nature.com
Single-cell RNA sequencing (scRNA-seq) has become an empowering technology to profile
the transcriptomes of individual cells on a large scale. Early analyses of differential …

A cancer biologist's primer on machine learning applications in high‐dimensional cytometry

TJ Keyes, P Domizi, YC Lo, GP Nolan… - Cytometry Part …, 2020 - Wiley Online Library
The application of machine learning and artificial intelligence to high‐dimensional cytometry
data sets has increasingly become a staple of bioinformatic data analysis over the past …

TIGIT is upregulated by HIV-1 infection and marks a highly functional adaptive and mature subset of natural killer cells

E Vendrame, C Seiler, T Ranganath, NQ Zhao… - Aids, 2020 - journals.lww.com
Objective: Our objective was to investigate the mechanisms that govern natural killer (NK)-
cell responses to HIV, with a focus on specific receptor--ligand interactions involved in HIV …

On the discovery of subpopulation-specific state transitions from multi-sample multi-condition single-cell RNA sequencing data

HL Crowell, C Soneson, PL Germain, D Calini, L Collin… - BioRxiv, 2019 - biorxiv.org
Single-cell RNA sequencing (scRNA-seq) has quickly become an empowering technology
to profile the transcriptomes of individual cells on a large scale. Many early analyses of …

Natural killer cell phenotype is altered in HIV-exposed seronegative women

NQ Zhao, E Vendrame, AM Ferreira, C Seiler… - PloS One, 2020 - journals.plos.org
Highly exposed seronegative (HESN) individuals present a unique setting to study
mechanisms of protection against HIV acquisition. As natural killer (NK) cell activation and …

[PDF][PDF] Algorithmic clustering of single-cell cytometry data-how unsupervised are these analyses really?

CB Pedersen, LR Olsen - Cytometry. Part A, 2020 - orbit.dtu.dk
Across single-cell technologies, including flow and mass cytometry, as well as scRNA-seq,
unsupervised clustering algorithms have become a staple of data analysis, and are often …

HLA upregulation during dengue virus infection suppresses the natural killer cell response

JL McKechnie, D Beltrán, A Pitti, L Saenz… - Frontiers in cellular …, 2019 - frontiersin.org
Dengue virus (DENV) is the most prevalent mosquito-borne virus in the world and a major
cause of morbidity in the tropics and subtropics. Upregulation of HLA class I molecules has …

[HTML][HTML] Mass cytometry analysis of the NK cell receptor–ligand repertoire reveals unique differences between dengue-infected children and adults

JL McKechnie, D Beltrán, AMM Ferreira… - …, 2020 - journals.aai.org
Dengue virus (DENV) is a significant cause of morbidity in many regions of the world, with
children at the greatest risk of developing severe dengue. NK cells, characterized by their …

CytoGLMM: conditional differential analysis for flow and mass cytometry experiments

C Seiler, AM Ferreira, LM Kronstad, LJ Simpson… - BMC …, 2021 - Springer
Background Flow and mass cytometry are important modern immunology tools for
measuring expression levels of multiple proteins on single cells. The goal is to better …

Characterization of the impact of daclizumab beta on circulating natural killer cells by mass cytometry

T Ranganath, LJ Simpson, AM Ferreira… - Frontiers in …, 2020 - frontiersin.org
Daclizumab beta is a humanized monoclonal antibody that binds to CD25 and selectively
inhibits high-affinity IL-2 receptor signaling. As a former treatment for relapsing forms of …